Effects of antecedent soil moisture on rill erodibility and critical shear stress

Li, Min; Liu, Qianjin; Zhang, Hanyu; Wells, Robert R.; Wang, Lizhi; Geng, Jibiao

doi:10.1016/j.catena.2022.106356

Cited by 13 publications

(3 citation statements)

References 63 publications

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“…Another reason could be attributed to environmental factors such as soil moisture, which were at their lowest in May and increased during the wet season. The negative relationship between critical shear stress and soil moisture reported by Li et al (2022) [50] might account for the higher critical shear stress in May and lower values in October.…”

Section: The Response Of Critical Shear Stressmentioning

confidence: 77%

Temporal Variation in Soil Resistance to Rill Erosion in Cropland of the Dry—Hot Valley Region, Southwest China

Wang,

Qin,

Kong

et al. 2024

Land

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In croplands, soil erosion resistance varies with both natural processes and human disturbances. To clarify the temporal variation in soil erosion resistance, nine cropland plots with three treatments (continuous fallow, fallow after tillage and tillage with corn) were established in the dry–hot valley region of China. A total of 144 field runoff simulation experiments were conducted from May to October to measure the soil detachment rate (Dc), rill erodibility (Kr) and critical shear stress (τc). The results revealed that the natural dry—wet alternation had little influence on the continuous-fallowed soil erosion resistance. On the other hand, the tillage disturbance that occurred in May sharply increased the Dc and Kr to 2.24 and 3 times that of the continuous-fallow treatment, respectively. Then, the erosion resistance could be enhanced with surface consolidation for the fallow-after-tillage treatment. However, after three months of fallow, the Kr was still 89.5% of the fresh tilled soil. In contrast, crop growth could significantly improve aggregate stability and reduce the Kr to 38.2% in August and even further to 23.7% in October compared to the fresh tilled soil. It could be concluded that crop growth is more efficient in enhancing erosion resistance than the mechanical effect. The above results would benefit from the accurate modeling of cropland soil erosion dynamics and guide agricultural management in dry–hot climate regions.

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Section: The Response Of Critical Shear Stressmentioning

confidence: 77%

Temporal Variation in Soil Resistance to Rill Erosion in Cropland of the Dry—Hot Valley Region, Southwest China

Wang,

Qin,

Kong

et al. 2024

Land

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“…In this process, the interaction between erosivity and erosion resistance of soil erosion becomes very complex. The erodibility K value of the same soil decreased, fluctuated, and increased by 1–15 times with the increase of soil moisture; the K value change of soil in a dry and wet state is also related to soil type [ 122 ]. Moragoda et al [ 110 ] found that dry soil has the lowest resistance to erosion and thus a high erodibility, and erosion resistance increases (erodibility decreases) with increasing antecedent moisture until a certain threshold.…”

Section: Discussionmentioning

confidence: 99%

Characteristics of Soil Erodibility in the Yinna Mountainous Area, Eastern Guangdong Province, China

Zhu

Liu

et al. 2022

IJERPH

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Soil erodibility research is of theoretical and practical significance to the prediction and prevention of regional soil erosion. At present, the study on soil erodibility in the lateritic red soil area of eastern Guangdong province is relatively lacking. Taking the forest land soil of the Yinna mountainous area as the research object, the physical and chemical properties (organic matter mass fraction, texture, moisture, bulk density, pH, aggregate content) of soil samples at different altitudes were measured with field survey sampling and indoor analysis. Soil erodibility K values were simulated with different models (the EPIC model, the Torri model, and the Shirazi model) and the regional applicability of the K simulation models was discussed. The influence of soil properties on soil erodibility was analyzed. The results showed that: (1) K values in the Yinna mountainous area are between 0.0250 and 0.0331 t·hm2·h/MJ·mm·hm2, and the K value in the subsoil layer (20–40 cm) is higher than that of the topsoil layer (0–20 cm). These values decreased significantly with the increase of altitude. The soil in the study area belongs to low–medium to medium erodible soil types. (2) The three models have certain applicability in the Yinna mountainous area, but the simulation results still lack validation. (3) Soil particle size composition is the most important factor affecting the K value in the study area. As far as the topsoil is concerned, K values increase with the increase of clay and silt content and decrease with the increase of sand content and aggregate stability. Soil erodibility has no significant correlation with pH and bulk density and has no clear relationship with the content of soil organic carbon and soil moisture. The research results can provide basic data for regional soil and water conservation and the construction of K value databases of different soil types in China.

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“…The sediment transport capacity in the riverbed was estimated using various parameters, includ-ing critical erosion velocity, bed shear stress, unit crucial discharge, and specific stream power. Bed shear stress remained a frequently used parameter, playing a crucial role in identifying alterations in bed morphology, sedimentation resulting from riverbank erosion, and corrosion connected to river-crossing structures (Petit et al, 2015;Li et al, 2022;Wang et al, 2023). Dam failure simulation results showed that the maximum bed shear stress at Kedung Maor waterfall occurred 0.67 hours after the initiation of dam failure.…”

Section: Bed Shear Stressmentioning

confidence: 99%

Analysis of Gongseng Dam Break-Induced Flood in East Java, Indonesia Through 2D Iber Software

Ahmadi,

Triatmodjo,

Benazir

2023

jcef

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The dam is a crucial river-crossing structure that ensures a sustainable water supply and offers numerous benefits. However, the potential hazard of dam failure is an imminent threat that could materialize unexpectedly. To comprehend the potential impact of dam break flood and identify vulnerable areas, it is essential to conduct rigorous analysis and simulate various dam failure scenarios. This comprehensive assessment is invaluable for informed land use planning and the development of effective emergency response plans. Therefore, this study aimed to analyze flood inundation resulting from the hypothetical failure of Gongseng dam, using Iber model. The modeling approach relied on a two-dimensional finite volume shallow water model, guided by specialized software. The scenarios for Gongseng dam break showed inundation areas of 12.57 km² and 7.55 km² for overtopping and piping failure, respectively. Overtopping failure resulted in the highest discharge, with Von Thun method causing severe damage due to wide break dimensions, and eventually leading to catastrophic consequences. However, this study showed that Froehlich method provided the most rational prediction for break parameters. In contrast to the other methods focusing solely on water height behind dam, Froehlich equation considered both the volume and height at the time of failure. Implementing dam break analysis held the potential to benefit downstream communities by providing inundation maps, thereby aiding in the mitigation of flood risks. Particularly, in situations with limited data and resources, as shown in this study, the cost-effective modeling method proposed could be an attractive option for simulating extreme flood induced by dam break.

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Effects of antecedent soil moisture on rill erodibility and critical shear stress

Cited by 13 publications

References 63 publications

Temporal Variation in Soil Resistance to Rill Erosion in Cropland of the Dry—Hot Valley Region, Southwest China

Temporal Variation in Soil Resistance to Rill Erosion in Cropland of the Dry—Hot Valley Region, Southwest China

Characteristics of Soil Erodibility in the Yinna Mountainous Area, Eastern Guangdong Province, China

Analysis of Gongseng Dam Break-Induced Flood in East Java, Indonesia Through 2D Iber Software

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